Construction and clinical application of a risk model based on N6-methyladenosine regulators for colorectal cancer
- Hanhan Zhu 1, Yu Yang 1, Zhenfeng Zhou 2
- Hanhan Zhu 1, Yu Yang 1, Zhenfeng Zhou 2
- 1Oncology Department, The Sixth Affiliated Hospital of Jinan University, Dongguan, China.
- 2Cancer Diagnosis and Treatment Research Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
- 0Oncology Department, The Sixth Affiliated Hospital of Jinan University, Dongguan, China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study developed a risk score based on N6-methyladenosine (m6A) regulators to predict colorectal cancer (CRC) prognosis. The model effectively differentiates high-risk patients with poor outcomes, aiding in CRC diagnosis and management.
Area Of Science
- Oncology
- Molecular Biology
- Bioinformatics
Background
- Colorectal cancer (CRC) is a prevalent malignancy in developed nations.
- N6-methyladenosine (m6A) regulators play a role in CRC progression.
- Establishing prognostic signatures is crucial for CRC management.
Purpose Of The Study
- To develop a prognostic signature for colorectal cancer (CRC) based on m6A regulators.
- To identify key m6A regulators and their association with CRC patient outcomes.
- To explore potential therapeutic targets and immune infiltration in CRC.
Main Methods
- Utilized bulk and single-cell RNA sequencing data from public databases (AC-ICAM, GSE33113, GSE146771).
- Performed consensus clustering, Gene Set Enrichment Analysis (GSEA), and LASSO Cox regression to build a risk model.
- Conducted in vitro assays (qPCR, wound healing, transwell) and analyzed immune cell infiltration and drug sensitivity.
Main Results
- Identified three molecular subtypes of CRC based on nine m6A regulators.
- Developed a RiskScore using METTL3, IGF2BP3, and YTHDC2, effectively classifying patients into high- and low-risk groups.
- High-risk patients exhibited poorer prognosis, increased immune cell infiltration, and activated inflammatory pathways. Inhibition of METTL3 or IGF2BP3 reduced CRC cell invasion and migration.
- A nomogram was developed for clinical application, and eight potential drugs were identified.
Conclusions
- The m6A regulator-based RiskScore is a critical predictor of colorectal cancer (CRC) development and patient prognosis.
- This model can significantly aid in the diagnosis and clinical management of CRC patients.
- Findings provide insights into the role of m6A modification in CRC and potential therapeutic strategies.
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